Seven layers, one closed loop, zero ambiguity about who's accountable for what.
Every layer below is a real, separately engineered system with its own role, its own data contract, and its own boundary of authority. Nothing here is a conceptual label standing in for unbuilt software.
Adversary Simulation
ATTACKER BRAINPredator runs continuous, autonomous red-teaming against your own environment — exploit chain reasoning, attack path prediction, and Zero Trust boundary stress testing, scheduled and scoped by your red team rather than improvised. The goal is to find what an attacker would find, before they do, and feed those findings directly into L2's defensive reasoning.
Signal Intelligence
NERVOUS SYSTEMPredator ingests, deduplicates, and normalizes every signal entering the platform — network telemetry, identity events, endpoint data, third-party feeds — sustaining 10M+ events per second. Pre-log identity signal capture means authentication anomalies are visible before they ever reach a SIEM. Full technical specification in Appendix A of the master architecture document.
Defensive Cognition
DEFENSIVE BRAINPredator performs causal reasoning over the normalized signal intelligence — not pattern matching against known signatures, but an explainable model of attacker intent built from a live causal graph. Every conclusion carries the evidence and rule that produced it, in plain language a human reviewer can audit without an engineer present.
Identity & Trust Enforcement
TRUST BOUNDARYPredator operates the Zero Trust identity hub — conditional access, phishing-resistant MFA (FIDO2), and just-in-time privilege management enforced at the boundary attackers cross most often. Identity is the new perimeter: attackers increasingly don't break in, they log in, and L3 is built around that reality.
Autonomous Remediation
MUSCLE LAYERPredator executes containment, patching, and configuration correction inside a governance envelope your team defines — not an open-ended autonomy grant. The envelope sets exactly what may execute without approval, what requires human sign-off, and what is never permitted regardless of confidence score.
Governance & Risk Intelligence
EXECUTIVE CORTEXPredator's Governance & Risk Intelligence layer maintains standing compliance mapping against NIST, ISO 27001, SOC 2, PCI-DSS, HIPAA, FedRAMP, and GDPR, generated continuously as a byproduct of operation rather than assembled under deadline for an audit. Risk scoring and board-level reporting are produced from the same evidence trail every autonomous decision already carries.
Human Command & Oversight
HUMAN GOVERNANCEStrategic direction, exception handling, and risk appetite definition. Accountability for every Predator action sits here — by design, not by exception, and cannot be delegated to an autonomous system. L6 operators hold override authority over any layer or any single decision, at any time, with every override logged and reviewed at the next governance cycle.
Virtual SOC Engineer Layer
OPERATIONAL LAYERSix agentic AI engineers operationalize L2, L4, and L5 as a 24×7 AI-native Security Operations Centre, with a photorealistic, voice-enabled virtual analyst augmenting tier-3 investigation. Human analysts remain staffed around the clock with ultimate override authority over every AI agent decision. See this layer running live in the console demo.
Autonomy is a setting, not a default.
Every autonomous action falls into one of four tiers. Your team sets the boundaries; Predator operates inside them.
This is a restatement of the Decision Authority Matrix maintained in the master architecture document (Section 13.2). It governs every autonomous action shown in the console demo.
Built to run wherever your data has to stay.
Multi-tenant or dedicated
Standard SaaS-style deployment with full elasticity, or a dedicated VPC per customer for teams needing physical and network separation without a full air gap.
Private, full-stack
The complete stack deployed inside your own network, with no external dependency required for core pipeline operation.
Disconnected operation
Full stack runs with no external connectivity. Model and rule updates move via an approved offline transfer process — no component requires phoning out.
Want to see this reasoning happen in real time?
The console demo runs the full detection-to-remediation cycle live in your browser — synthetic data, real decision logic.